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WEBs Financial XLF Defined Volatility ETF

DVXFNASDAQWEBsEquity

$25.48Today:- (-)1Y +5.33%

As of Sep 2, 2026 close

Assets (AUM)
$274.54K
Expense ratio
0.89%
Dividend yield
14.29%
Holdings
4
52-week range
$20.43$29.24
Volume (live)
-
Avg. volume (3M)
756

DVXF ETF Historical Prices: WEBs Financial XLF Defined Volatility ETF

Complete OHLC price data, adjusted close prices, and daily trading volume for this Equity ETF. Analyze trends with customizable time periods and intervals.

DVXF Historical Price Chart: Trends & Patterns

Visualize price movements and trading patterns with adjustable time periods and data intervals.

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DVXF Historical Price Data Table

Complete historical stock price data with OHLC prices, adjusted close, and daily trading volume. Filter by time interval and date range for detailed price history analysis.

Filter Historical Data

Active filters: 6 Months · Daily94 records
Showing 1-50 of 94
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DVXF historical price data table with daily, weekly, monthly, quarterly, and yearly trading intervals. Track Open, High, Low, Close, Adjusted Close prices, and trading volume to analyze price trends, technical patterns, and market activity for comprehensive price history analysis.
DateOpenHighLowCloseAdj CloseVolume
Sep 2, 202625.4825.4825.4825.4825.48N/A
Aug 31, 202629.0929.0929.0929.0929.09N/A
Aug 28, 202629.0929.0929.0929.0929.09N/A
Aug 27, 202629.0929.0929.0929.0929.09N/A
Aug 26, 202625.4425.4425.4425.4425.4440
Aug 25, 202628.8329.0928.8329.0925.44695
Aug 24, 202629.0029.0029.0029.0025.3721
Aug 21, 202628.3628.4728.3628.4124.861.39K
Aug 20, 202627.9127.9127.9127.9124.4268
Aug 19, 202628.7228.7228.3828.3824.825.84K
Aug 18, 202628.8528.8528.7528.7525.15273
Aug 17, 202628.7528.7528.5328.5324.96982
Aug 14, 202629.0829.0829.0829.0825.4465
Aug 13, 202629.2129.2129.2129.2125.5514
Aug 12, 202628.8628.8628.8628.8625.2467
Aug 11, 202628.7428.7428.7428.7425.1474
Aug 10, 202628.7428.7428.7428.7425.141.03K
Aug 7, 202628.5928.5928.5928.5925.01189
Aug 6, 202628.8528.8528.8028.8025.19619
Aug 5, 202629.2429.2429.0029.0425.41915
Aug 4, 202629.0129.0128.9228.9225.30866
Aug 3, 202628.5228.5328.4128.4124.85927
Jul 31, 202628.0328.0328.0328.0324.527
Jul 30, 202628.0728.0728.0728.0724.566
Jul 29, 202627.7727.7727.7727.7724.307
Jul 28, 202628.3328.6528.2828.6525.06833
Jul 27, 202627.9827.9827.9827.9824.481.51K
Jul 24, 202627.4527.4527.4527.4524.0139
Jul 23, 202626.9027.0026.9027.0023.621.37K
Jul 22, 202627.2427.2427.2427.2423.833.06K
Jul 21, 202627.2527.2527.2527.2523.846
Jul 20, 202627.4327.4327.2327.2323.833.61K
Jul 17, 202627.6527.6527.4427.4624.032.91K
Jul 16, 202627.7327.8627.7327.8624.38242
Jul 15, 202627.8227.8227.7127.7124.24553
Jul 14, 202627.8927.8927.4027.4123.973.73K
Jul 13, 202627.2527.2527.2527.2523.848
Jul 10, 202626.9426.9426.9426.9423.579
Jul 9, 202626.7526.7526.7526.7523.4068
Jul 8, 202626.2626.2626.2626.2622.9719
Jul 7, 202627.3727.3727.3227.3223.90183
Jul 6, 202626.9827.4026.9827.4023.973.16K
Jul 2, 202626.7926.9026.7926.9023.541.11K
Jul 1, 202626.1726.1726.1726.1722.8911
Jun 30, 202625.1125.1125.0725.0721.93709
Jun 29, 202625.1825.1825.1825.1822.036
Jun 26, 202625.1125.1125.1125.1121.975
Jun 25, 202624.9124.9124.9124.9121.80N/A
Jun 24, 202625.2525.2525.1825.1822.03248
Jun 23, 202625.3825.3825.3825.3822.2068
Show:
of 94

Source: Daily exchange trading data. Data as of Sep 2, 2026. Data sources and methodology

Understanding Historical ETF Price Data & OHLC Metrics

Open Price
The price at which the ETF opened for trading at the start of the trading session.
High Price
The highest price at which the ETF traded during the trading session.
Low Price
The lowest price at which the ETF traded during the trading session.
Close Price
The final price when trading closed for the session.
Adjusted Close Price
The closing price adjusted for corporate actions such as dividends, stock splits, and rights offerings. Used for accurate long-term historical price analysis and return calculations.
Volume
The total number of shares traded during the session, indicating trading activity and liquidity.

Using Historical Prices for Technical Analysis

Traders and investors use historical price data to identify patterns, support and resistance levels, and price trends. By analyzing OHLC values across different intervals, you can spot key market signals.

Trading Ranges
High and Low prices reveal daily and weekly volatility patterns, helping identify potential breakout or consolidation zones.
Price Momentum
Close price changes across intervals indicate bullish or bearish activity and overall trend direction.
Volume Confirmation
Trading volume validates price movements and trend strength. High volume typically confirms significant price changes.
Long-term Trends
Monthly and yearly intervals reveal major price patterns and cycles, useful for position trading and portfolio analysis.

Frequently Asked Questions About WEBs Financial XLF Defined Volatility ETF Historical Prices

What is OHLC data for DVXF?

OHLC stands for Open, High, Low, Close - the four key price points for DVXF during each trading period. Open is the first trade price, High is the maximum price reached, Low is the minimum price, and Close is the final trade price for the period.

What is adjusted close price for DVXF?

The adjusted close price for DVXF is the closing price modified to account for corporate actions like stock splits and dividend distributions. This provides accurate historical price comparison for long-term analysis.

How far back does DVXF price history go?

DVXF historical price data is available from the ETF's inception on Jul 21, 2025. Use the "Max" time period option to view all available historical data, or select specific periods like 1 year, 5 years, or 10 years.

What time intervals are available for DVXF data?

DVXF historical data is available in multiple intervals: daily (individual trading days), weekly (week-ending prices), monthly (month-end prices), quarterly (quarter-end prices), and yearly (year-end prices).

Why is trading volume important for DVXF?

Trading volume for DVXF indicates market activity and liquidity. High volume often confirms price trends, while low volume may suggest weak price movements. Volume analysis helps validate technical patterns and identify potential reversals.